Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147529
Péter Mátételki, Máté Pataki, Sándor Turbucz, László Kovács
An assistive tool (InterpreterGlove) for hearing- and speech impaired people is created, enabling them to easily communicate with the non-disabled using hand gestures and sign language. An integrated hardware and software solution is built to improve their standard of living, consisting of sensor network based motion-capture gloves, a low-level signal processing unit and a mobile application for high-level natural language processing. This paper introduces the overall system architecture and describes our automatic sign language interpreter software solution that processes the gesture descriptor stream of the motion-capture gloves, produces understandable text and reads it out as audible speech. The main logic of our automatic sign language interpreter consists of two algorithms: sign descriptor stream segmentation and text auto-correction. The software architecture of this time-sensitive complex application and the semantics of the developed hand gesture descriptor are described. We also present how the beta tester's feedback from the deaf community influenced our work and achievements.
{"title":"An assistive interpreter tool using glove-based hand gesture recognition","authors":"Péter Mátételki, Máté Pataki, Sándor Turbucz, László Kovács","doi":"10.1109/IHTC.2014.7147529","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147529","url":null,"abstract":"An assistive tool (InterpreterGlove) for hearing- and speech impaired people is created, enabling them to easily communicate with the non-disabled using hand gestures and sign language. An integrated hardware and software solution is built to improve their standard of living, consisting of sensor network based motion-capture gloves, a low-level signal processing unit and a mobile application for high-level natural language processing. This paper introduces the overall system architecture and describes our automatic sign language interpreter software solution that processes the gesture descriptor stream of the motion-capture gloves, produces understandable text and reads it out as audible speech. The main logic of our automatic sign language interpreter consists of two algorithms: sign descriptor stream segmentation and text auto-correction. The software architecture of this time-sensitive complex application and the semantics of the developed hand gesture descriptor are described. We also present how the beta tester's feedback from the deaf community influenced our work and achievements.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121207972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147516
R. N. Randrianjatovo, S. Rakotondraompiana, S. Rakotoniaina
Land Surface Temperature (LST) is one of key parameters in physics of land surface processes from local through global scale. LST is required for a wide variety of applications such as climatology, hydrology, agriculture, biochemistry, and change detection studies.
{"title":"Estimation of Land Surface Temperature over Reunion Island using the thermal infrared channels of Landsat-8","authors":"R. N. Randrianjatovo, S. Rakotondraompiana, S. Rakotoniaina","doi":"10.1109/IHTC.2014.7147516","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147516","url":null,"abstract":"Land Surface Temperature (LST) is one of key parameters in physics of land surface processes from local through global scale. LST is required for a wide variety of applications such as climatology, hydrology, agriculture, biochemistry, and change detection studies.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133480467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147551
Sabine Klausner, K. Entacher, Simon Kranzer, A. Sönnichsen, M. Flamm, G. Fritsch
Over the last decades, the amount of medical information has been growing rapidly. Online platforms such as patient's and doctor's blogs and forums and medical databases are widely and easily accessible to medical professionals as well as to the public. However, researching, filtering and evaluating the quality of this often overwhelming amount of data remains a challenge. Moreover, existing guidelines in the medical context are extensive and hardly applicable in the clinical context since reading and translation into clinical practice is time consuming [1][2]. Due to growing critical awareness among patients towards their medical treatment, there is an increased demand from internists, general practitioners, and other specialists, to explain medical conditions, treatment options and procedures in a more comprehensive fashion. In addition this discussion should be supported by the current state of clinical research. Expert systems could provide valuable support to fulfill these needs. Initial prototypes of expert systems in the inpatient arena were already implemented in the 1960's in the context of clinical trials [3]. The main goal of these systems was to improve medical care by assisting in the medical decision process. However, most of these systems did not remain in clinical practice for a prolonged period of time. In most cases, the user interface of the software was too complex for daily use. Appropriate application and a detailed insight into these systems requires a lot of handbook knowledge. Therefore the initial hurdles for the integration of software into specific clinical application, faced by the potential users were too cumbersome. The main purpose of the project ProPath was to eliminate these issues and at the same time provide optimal clinical practice for the health care system in a variety of medical topics. Both in the outpatient and inpatient scenario, there is an increasing demand to support communication and to improve the distribution of published knowledge and the application of practical experiences within the medical field. The main challenge to achieve that objective is to design an intuitive, user friendly software product that can be integrated into the current standard network environments. An example of successful implementation of a medical information system into clinical practice is the PROP system [4]. It is a medical decision support system, which has been designed, developed and implemented in Austria in the course of Reformpoolprojekt, in order to optimize the preoperative process. Since 2008, it is applied by general practicioners, pediatricians, clinicians and internists, in the state of Salzburg and was externally evaluated by the Paracelsus Medical University (PMU) in Salzburg. This paper provides an overview on how acquired knowledge can be utilized to reduce the complexity of designing and implementing clinical pathways (ProPath), supported by medical information or expert systems. Finally, statistical
{"title":"ProPath - A guideline based software for the implementation into the medical environment","authors":"Sabine Klausner, K. Entacher, Simon Kranzer, A. Sönnichsen, M. Flamm, G. Fritsch","doi":"10.1109/IHTC.2014.7147551","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147551","url":null,"abstract":"Over the last decades, the amount of medical information has been growing rapidly. Online platforms such as patient's and doctor's blogs and forums and medical databases are widely and easily accessible to medical professionals as well as to the public. However, researching, filtering and evaluating the quality of this often overwhelming amount of data remains a challenge. Moreover, existing guidelines in the medical context are extensive and hardly applicable in the clinical context since reading and translation into clinical practice is time consuming [1][2]. Due to growing critical awareness among patients towards their medical treatment, there is an increased demand from internists, general practitioners, and other specialists, to explain medical conditions, treatment options and procedures in a more comprehensive fashion. In addition this discussion should be supported by the current state of clinical research. Expert systems could provide valuable support to fulfill these needs. Initial prototypes of expert systems in the inpatient arena were already implemented in the 1960's in the context of clinical trials [3]. The main goal of these systems was to improve medical care by assisting in the medical decision process. However, most of these systems did not remain in clinical practice for a prolonged period of time. In most cases, the user interface of the software was too complex for daily use. Appropriate application and a detailed insight into these systems requires a lot of handbook knowledge. Therefore the initial hurdles for the integration of software into specific clinical application, faced by the potential users were too cumbersome. The main purpose of the project ProPath was to eliminate these issues and at the same time provide optimal clinical practice for the health care system in a variety of medical topics. Both in the outpatient and inpatient scenario, there is an increasing demand to support communication and to improve the distribution of published knowledge and the application of practical experiences within the medical field. The main challenge to achieve that objective is to design an intuitive, user friendly software product that can be integrated into the current standard network environments. An example of successful implementation of a medical information system into clinical practice is the PROP system [4]. It is a medical decision support system, which has been designed, developed and implemented in Austria in the course of Reformpoolprojekt, in order to optimize the preoperative process. Since 2008, it is applied by general practicioners, pediatricians, clinicians and internists, in the state of Salzburg and was externally evaluated by the Paracelsus Medical University (PMU) in Salzburg. This paper provides an overview on how acquired knowledge can be utilized to reduce the complexity of designing and implementing clinical pathways (ProPath), supported by medical information or expert systems. Finally, statistical","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133932745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147514
Sujit R. Shinde, R. Shinde, S. Shanbhag, Mridula Solanki, Pavan Sable, S. Kimbahune
Reducing Infant Mortality Rate (IMR) and Maternal Mortality Ratio (MMR) is one of the important Millennium Development Goal (MDG) [1] and many countries are working on it. In India, it is being addressed through National Rural Health Mission (NRHM). Though Government is taking huge efforts, considering the vast geographic area and less Doctors: Patient ratio, there is a gap in health-care delivery. To address this challenge, mHEALTH-PHC - mobile based remote health-care delivery platform was developed and piloted. This platform enabled health workers to digitize the patient's data and ask questions to doctors. Doctors could see the questions along with the data and give appropriate answers. This experiment was conducted for more than a year for a set of approximately 300 expecting mothers in one of the most under-developed and remote regions of the state. Since this was one of the early initiatives in rural health-care delivery, it was a very good learning experience. There were excellent interactions and feedback from the ground level health workers. An innovative "Participative Design" approach was used for this purpose. This paper captures the experience of designing a health care application for rural India, the tools and methodologies used, issues faced and how these were resolved. The paper also discusses the strategies used for optimizing the fairly large set of information to suit small form factor of mobile screens without losing data fidelity, categorization and prioritization. The design was then translated to mobile based application. Analysis of usage by the health workers, their experience and impact on overall health delivery process was also studied.
{"title":"mHEALTH-PHC - Application design for rural health care","authors":"Sujit R. Shinde, R. Shinde, S. Shanbhag, Mridula Solanki, Pavan Sable, S. Kimbahune","doi":"10.1109/IHTC.2014.7147514","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147514","url":null,"abstract":"Reducing Infant Mortality Rate (IMR) and Maternal Mortality Ratio (MMR) is one of the important Millennium Development Goal (MDG) [1] and many countries are working on it. In India, it is being addressed through National Rural Health Mission (NRHM). Though Government is taking huge efforts, considering the vast geographic area and less Doctors: Patient ratio, there is a gap in health-care delivery. To address this challenge, mHEALTH-PHC - mobile based remote health-care delivery platform was developed and piloted. This platform enabled health workers to digitize the patient's data and ask questions to doctors. Doctors could see the questions along with the data and give appropriate answers. This experiment was conducted for more than a year for a set of approximately 300 expecting mothers in one of the most under-developed and remote regions of the state. Since this was one of the early initiatives in rural health-care delivery, it was a very good learning experience. There were excellent interactions and feedback from the ground level health workers. An innovative \"Participative Design\" approach was used for this purpose. This paper captures the experience of designing a health care application for rural India, the tools and methodologies used, issues faced and how these were resolved. The paper also discusses the strategies used for optimizing the fairly large set of information to suit small form factor of mobile screens without losing data fidelity, categorization and prioritization. The design was then translated to mobile based application. Analysis of usage by the health workers, their experience and impact on overall health delivery process was also studied.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115060449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147552
Y. Lien, Kuan-Chieh Huang, Jyh-Shyan Huang
When stricken by a large-scale disaster, the efficiency of disaster response operation is very critical to lifesaving. However, communication systems, such as cellular networks, usually crashed due to various causes making coordination among disorganized disaster responders extremely difficult. Unfortunately, rapid deployment of many existing emergency communication systems relies on a good transportation system, which is usually not available in a catastrophic natural disaster. We proposed a Contingency Cellular Network (CCN) for emergency communication by connecting disconnected base stations together with wireless links and constructing a multi-hop cellular network. CCN can support existing mobile phone users with reduced capability. Such a system can support a large number of disaster responders in the early hours of a catastrophic natural disaster, thus save many lives. This paper addresses the design of forwarding topology using multiple operator's base stations aiming to maximize the efficiency of disaster response. We take the degree of emergency and population of each stricken area as the priority measure as well as the available resources as the constraint to determine the topology. The CCN Cross Network Topology Design problem is modeled as a K-Maximum Spanning Tree Problem. The problem is proven NP Hard. We also designed a few efficient heuristic algorithms to solve the problem when it is needed in urgent.
{"title":"Cross Network Topology Design for Contingency Cellular Network","authors":"Y. Lien, Kuan-Chieh Huang, Jyh-Shyan Huang","doi":"10.1109/IHTC.2014.7147552","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147552","url":null,"abstract":"When stricken by a large-scale disaster, the efficiency of disaster response operation is very critical to lifesaving. However, communication systems, such as cellular networks, usually crashed due to various causes making coordination among disorganized disaster responders extremely difficult. Unfortunately, rapid deployment of many existing emergency communication systems relies on a good transportation system, which is usually not available in a catastrophic natural disaster. We proposed a Contingency Cellular Network (CCN) for emergency communication by connecting disconnected base stations together with wireless links and constructing a multi-hop cellular network. CCN can support existing mobile phone users with reduced capability. Such a system can support a large number of disaster responders in the early hours of a catastrophic natural disaster, thus save many lives. This paper addresses the design of forwarding topology using multiple operator's base stations aiming to maximize the efficiency of disaster response. We take the degree of emergency and population of each stricken area as the priority measure as well as the available resources as the constraint to determine the topology. The CCN Cross Network Topology Design problem is modeled as a K-Maximum Spanning Tree Problem. The problem is proven NP Hard. We also designed a few efficient heuristic algorithms to solve the problem when it is needed in urgent.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125916579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147541
C. D. Campos, Thelma Virgínia Rodrigues, S. A. S. Filho, Nivania Maria de Melo Reis, Patricia Carolina Fernandes da Silva, Luciane Dias Campos
Aware of the gap that exists between the social rights protected by laws and its full enjoyment, a multidisciplinar team composed of engineers, educators and brazilians students, joined to develop assistive technology products that contribute to the inclusion of people with disabilities, especially those low-income people. This paper presents a successful experience of this team on the development of valuable technology assistive products with low-tech. Construction procedures that describe how to transform conventional computer peripherals such as mouses and keyboards in custom devices for people with physical disabilities will be presented in details. These procedures were conceived in order to design functional, durable and low-cost products. The group uses the Internet in order to publicly disseminate their knowledges and projects.
{"title":"Customizing conventional computer peripherals in the benefit of low income individuals with disabilities: Step by step procedures to make by yourself","authors":"C. D. Campos, Thelma Virgínia Rodrigues, S. A. S. Filho, Nivania Maria de Melo Reis, Patricia Carolina Fernandes da Silva, Luciane Dias Campos","doi":"10.1109/IHTC.2014.7147541","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147541","url":null,"abstract":"Aware of the gap that exists between the social rights protected by laws and its full enjoyment, a multidisciplinar team composed of engineers, educators and brazilians students, joined to develop assistive technology products that contribute to the inclusion of people with disabilities, especially those low-income people. This paper presents a successful experience of this team on the development of valuable technology assistive products with low-tech. Construction procedures that describe how to transform conventional computer peripherals such as mouses and keyboards in custom devices for people with physical disabilities will be presented in details. These procedures were conceived in order to design functional, durable and low-cost products. The group uses the Internet in order to publicly disseminate their knowledges and projects.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125075458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147528
Abdullah Alsubaie, J. Martí, K. Al-Utaibi, A. D. Pietro, Alberto Tofani
Recent events, such as Hurricane Katrina, have revealed the need for coordinated and effective disaster responses. An optimal distribution of available resources is essential for disaster response effectiveness. Emergency responders are faced with the challenges of increased size and complexity of critical infrastructures that provide vital resources for disaster response operations. In this paper, we propose a simulation-based tool to assist emergency responders in finding the optimal distribution of available resources during a disaster event. The proposed tool utilizes the Disaster Response Network Enabled Platform (DR-NEP) which is an infrastructure interdependencies simulation platform for disaster response support. DR-NEP is a simulation network platform that integrates different simulators for different infrastructures to form a universal simulation platform. We employ a new concept in Discrete Event Systems optimization called Ordinal Optimization to address the problem of resources allocation during a disaster event. The objective of the optimization problem is maximizing the operational capacity of a critical infrastructure, a hospital in this case. Due to the huge combinatorial feasible search space, an Ordinal Optimization based approach is used to solve the problem using two main concepts: goal softening and order comparison. This approach aims at finding a Good Enough solution set (G) with an acceptable probability and efficient computational effort. This paper describes early results of our work that shows the use of our approach in optimizing resources allocation in a simulated disaster event.
{"title":"Resources allocation in disaster response using Ordinal Optimization based approach","authors":"Abdullah Alsubaie, J. Martí, K. Al-Utaibi, A. D. Pietro, Alberto Tofani","doi":"10.1109/IHTC.2014.7147528","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147528","url":null,"abstract":"Recent events, such as Hurricane Katrina, have revealed the need for coordinated and effective disaster responses. An optimal distribution of available resources is essential for disaster response effectiveness. Emergency responders are faced with the challenges of increased size and complexity of critical infrastructures that provide vital resources for disaster response operations. In this paper, we propose a simulation-based tool to assist emergency responders in finding the optimal distribution of available resources during a disaster event. The proposed tool utilizes the Disaster Response Network Enabled Platform (DR-NEP) which is an infrastructure interdependencies simulation platform for disaster response support. DR-NEP is a simulation network platform that integrates different simulators for different infrastructures to form a universal simulation platform. We employ a new concept in Discrete Event Systems optimization called Ordinal Optimization to address the problem of resources allocation during a disaster event. The objective of the optimization problem is maximizing the operational capacity of a critical infrastructure, a hospital in this case. Due to the huge combinatorial feasible search space, an Ordinal Optimization based approach is used to solve the problem using two main concepts: goal softening and order comparison. This approach aims at finding a Good Enough solution set (G) with an acceptable probability and efficient computational effort. This paper describes early results of our work that shows the use of our approach in optimizing resources allocation in a simulated disaster event.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125262378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147518
Mohd Soperi Mohd Zahid, A. Abdullah, E. Supriyanto
The advances in cloud computing has resulted in the introduction of several health-care services in the cloud. However, not much work has been done which utilizes Cloud computing for providing pervasive healthcare information management services on mobile devices. This paper focus on the application of Mobile Cloud Computing in Care pathways, a set of tools for managing quality of care provided to patients by medical institutions. Care pathways started in 1980s with paper-based or form-based version. Nowadays, hospitals may use the electronic version which offer greater flexibility and integration with other parts of hospital systems, and helps in reducing medical errors. Mobile cloud computing has a great potential in facilitating Care pathways in this direction. Mobility can be utilized to improve communications between the various levels of Care pathways users, as well as convenient and secured access to medical records and data. In addition, cloud computing allows the offloading of complex resource scheduling or medical processing tasks to be performed remotely reducing computing energy and equipment cost incurred by medical institutions. In this paper, we propose the techniques to develop the Care pathways software based on Mobile cloud computing technologies, the required hardware infrastructure and software components, and propose a design architecture. The objective is to foster and provide systematic guidance on development of advanced Care pathways software.
{"title":"Application of Mobile Cloud Computing in Care pathways","authors":"Mohd Soperi Mohd Zahid, A. Abdullah, E. Supriyanto","doi":"10.1109/IHTC.2014.7147518","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147518","url":null,"abstract":"The advances in cloud computing has resulted in the introduction of several health-care services in the cloud. However, not much work has been done which utilizes Cloud computing for providing pervasive healthcare information management services on mobile devices. This paper focus on the application of Mobile Cloud Computing in Care pathways, a set of tools for managing quality of care provided to patients by medical institutions. Care pathways started in 1980s with paper-based or form-based version. Nowadays, hospitals may use the electronic version which offer greater flexibility and integration with other parts of hospital systems, and helps in reducing medical errors. Mobile cloud computing has a great potential in facilitating Care pathways in this direction. Mobility can be utilized to improve communications between the various levels of Care pathways users, as well as convenient and secured access to medical records and data. In addition, cloud computing allows the offloading of complex resource scheduling or medical processing tasks to be performed remotely reducing computing energy and equipment cost incurred by medical institutions. In this paper, we propose the techniques to develop the Care pathways software based on Mobile cloud computing technologies, the required hardware infrastructure and software components, and propose a design architecture. The objective is to foster and provide systematic guidance on development of advanced Care pathways software.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122201997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147546
C. Illangakoon, R. McLeod, M. Friesen
This work explores the utility of an agent based model (ABM) for studying malaria prevalence and transmission. Malaria is a life-threatening disease caused by Plasmodium parasites that are transmitted to humans through the bites of infected female mosquitoes of the genus Anopheles. According to the WHO, malaria caused an estimated 627,000 deaths in 2012 (with an uncertainty range of 473,000 to 789,000), mostly among African children [1][2]. Increased malaria prevention and control measures are the focus of much research and have already dramatically reduced the malaria burden in many places. Through the use of technology and high-resolution modeling and simulation, an even better understanding of prevention and control measures may be obtained.
{"title":"Agent based modeling of malaria","authors":"C. Illangakoon, R. McLeod, M. Friesen","doi":"10.1109/IHTC.2014.7147546","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147546","url":null,"abstract":"This work explores the utility of an agent based model (ABM) for studying malaria prevalence and transmission. Malaria is a life-threatening disease caused by Plasmodium parasites that are transmitted to humans through the bites of infected female mosquitoes of the genus Anopheles. According to the WHO, malaria caused an estimated 627,000 deaths in 2012 (with an uncertainty range of 473,000 to 789,000), mostly among African children [1][2]. Increased malaria prevention and control measures are the focus of much research and have already dramatically reduced the malaria burden in many places. Through the use of technology and high-resolution modeling and simulation, an even better understanding of prevention and control measures may be obtained.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-01DOI: 10.1109/IHTC.2014.7147524
Yangdong Liao, Rudakova Na, Derek Rayside
Electrocardiograms (ECGs) are usually recorded in a clinical setting by medical professionals using twelve leads attached to the patient. Our industry partner has developed a single-lead ECG machine for use by patients at home. Patients can then send these readings to remote doctors. The goal of the machines is to make medical expertise more accessible, affordable, and convenient. The ECGs recorded by patients with a single-lead suffer greatly from baseline wandering and high frequency noises, as compared to ECGs recorded with twelve-leads in a clinical setting. Accurate R-peak detection is an important step in ECG analysis. A variety of methods have been proposed in the past against standard clinical twelve-lead ECG recordings. In this study, we propose a new R-peak detection algorithm for single-lead mobile ECG recordings. Our area-based approach is built on the understanding that QRS complexes are typically narrow and tall, resulting in large areas over the curve around these locations. Our algorithm is simple to implement, computationally efficient, and does not require any signal pre-processing. This conceptual simplicity is a quality that distinguishes our approach from existing solutions. We evaluated our algorithm against data collected by patients from single-lead portable devices, and yielded 99.4% precision and 99.4% recall. The MIT/BIT Arrhythmia Database of twelve-lead clinical ECG recordings was also used to verify our algorithm. On this dataset we obtained a precision of 99.3% and recall of 98.6%.
{"title":"Accurate ECG R-peak detection for telemedicine","authors":"Yangdong Liao, Rudakova Na, Derek Rayside","doi":"10.1109/IHTC.2014.7147524","DOIUrl":"https://doi.org/10.1109/IHTC.2014.7147524","url":null,"abstract":"Electrocardiograms (ECGs) are usually recorded in a clinical setting by medical professionals using twelve leads attached to the patient. Our industry partner has developed a single-lead ECG machine for use by patients at home. Patients can then send these readings to remote doctors. The goal of the machines is to make medical expertise more accessible, affordable, and convenient. The ECGs recorded by patients with a single-lead suffer greatly from baseline wandering and high frequency noises, as compared to ECGs recorded with twelve-leads in a clinical setting. Accurate R-peak detection is an important step in ECG analysis. A variety of methods have been proposed in the past against standard clinical twelve-lead ECG recordings. In this study, we propose a new R-peak detection algorithm for single-lead mobile ECG recordings. Our area-based approach is built on the understanding that QRS complexes are typically narrow and tall, resulting in large areas over the curve around these locations. Our algorithm is simple to implement, computationally efficient, and does not require any signal pre-processing. This conceptual simplicity is a quality that distinguishes our approach from existing solutions. We evaluated our algorithm against data collected by patients from single-lead portable devices, and yielded 99.4% precision and 99.4% recall. The MIT/BIT Arrhythmia Database of twelve-lead clinical ECG recordings was also used to verify our algorithm. On this dataset we obtained a precision of 99.3% and recall of 98.6%.","PeriodicalId":341818,"journal":{"name":"2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134516501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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